# Healthcare Data Analysis and Disease Prediction ## Project Overview In this project, we will analyze a healthcare dataset to identify patterns and predict the likelihood of a particular disease based on various features such as age, blood pressure, and lifestyle factors. We will implement classification algorithms to make predictions and use various metrics to evaluate our models.
## Load the Dataset We will load the healthcare dataset for analysis. Make sure to download the dataset and update the path below.
## Conclusion and Recommendations Based on the analysis and model performance, we recommend [decision tree with more accuracy]andThe Random Forest model performed best with an AUC of [0.53]. Potential improvements include [has to train with xg boost].